Syllabus

See Here for full syllabus.

About Statistics 154/254

This course will focus on statistical/machine learning methods, data analysis/programming skills. Upon completing this course, the students are expected to be able to 1) build baseline models for real world data analysis problems; 2) implement models using programming languages; 3) draw insights/conclusions from models.

Prerequisites

MATH 53 and 54 or equivalents; MATH 110 is highly recommended. STAT 135 or equivalent (DATA/STAT C100 and (STAT 134 or DATA/STAT C140) will be accepted). STAT 133 preferred. STAT 151A is recommended. Scripting language required and Python experience recommended.

Review of Matrix Algebra and Calculus, Basic Probability (Adopted from CS229 at Stanford).